translational medicine
Find and Replace: DNA Editing Tool Shows Gene Therapy Promise
Caption: This image represents an infection-fighting cell called a neutrophil. In this artist’s rendering, the cell’s DNA is being “edited” to help restore its ability to fight bacterial invaders.
Credit: NIAID, NIH
For gene therapy research, the perennial challenge has been devising a reliable way to insert safely a working copy of a gene into relevant cells that can take over for a faulty one. But with the recent discovery of powerful gene editing tools, the landscape of opportunity is starting to change. Instead of threading the needle through the cell membrane with a bulky gene, researchers are starting to design ways to apply these tools in the nucleus—to edit out the disease-causing error in a gene and allow it to work correctly.
While the research is just getting under way, progress is already being made for a rare inherited immunodeficiency called chronic granulomatous disease (CGD). As published recently in Science Translational Medicine, a team of NIH researchers has shown with the help of the latest CRISPR/Cas9 gene-editing tools, they can correct a mutation in human blood-forming adult stem cells that triggers a common form of CGD. What’s more, they can do it without introducing any new and potentially disease-causing errors to the surrounding DNA sequence [1].
When those edited human cells were transplanted into mice, the cells correctly took up residence in the bone marrow and began producing fully functional white blood cells. The corrected cells persisted in the animal’s bone marrow and bloodstream for up to five months, providing proof of principle that this lifelong genetic condition and others like it could one day be cured without the risks and limitations of our current treatments.
Tags: adult stem cells, bacteria, CGD, chronic granulomatous disease, clinical trials, CRISPR, CRISPR-Cas, CRISPR/Cas9, DNA editing, fungi, gene therapy, genetics, hematopoietic stem cells, immunodeficiency, immunology, infectious disease, inherited immuodeficiency, neutrophil, rare disease, translational medicine, X chromosome, X-linked chronic granulomatous disease
Sickle Cell Disease: Gene-Editing Tools Point to Possible Ultimate Cure
Caption: An electron micrograph showing two red blood cells deformed by crystalline hemoglobin into different “sickle” shapes characteristic of people with sickle cell disease.
Credit: Frans Kuypers: RBClab.com, UCSF Benioff Children’s Hospital Oakland
Scientists first described the sickle-shaped red blood cells that give sickle cell disease its name more than a century ago. By the 1950s, the precise molecular and genetic underpinnings of this painful and debilitating condition had become clear, making sickle cell the first “molecular disease” ever characterized. The cause is a single letter “typo” in the gene encoding oxygen-carrying hemoglobin. Red blood cells containing the defective hemoglobin become stiff, deformed, and prone to clumping. Individuals carrying one copy of the sickle mutation have sickle trait, and are generally fine. Those with two copies have sickle cell disease and face major medical challenges. Yet, despite all this progress in scientific understanding, nearly 70 years later, we still have no safe and reliable means for a cure.
Recent advances in CRISPR/Cas9 gene-editing tools, which the blog has highlighted in the past, have renewed hope that it might be possible to cure sickle cell disease by correcting DNA typos in just the right set of cells. Now, in a study published in Science Translational Medicine, an NIH-funded research team has taken an encouraging step toward this goal [1]. For the first time, the scientists showed that it’s possible to correct the hemoglobin mutation in blood-forming human stem cells, taken directly from donors, at a frequency that might be sufficient to help patients. In addition, their gene-edited human stem cells persisted for 16 weeks when transplanted into mice, suggesting that the treatment might also be long lasting or possibly even curative.
Tags: anemia, blood, bone marrow stem cells, Cas9, CRISPR, CRISPR/Cas9, DNA editing, gene editing, genetic blood diseases, genetic engineering, genomics, hemaglobin, hematology, hematopoietic stem cells, human stem cells, immune deficiency, molecular disease, red blood cells, RNA, sickle cell anemia, sickle cell disease, sickle cell triat, sickle mutation, translational medicine
Alzheimer’s Disease: Tau Protein Predicts Early Memory Loss
Caption: PET scan images show distribution of tau (top panel) and beta-amyloid (bottom panel) across a brain with early Alzheimer’s disease. Red indicates highest levels of protein binding, dark blue the lowest, yellows and oranges indicate moderate binding.
Credit: Brier et al., Sci Transl Med
In people with Alzheimer’s disease, changes in the brain begin many years before the first sign of memory problems. Those changes include the gradual accumulation of beta-amyloid peptides and tau proteins, which form plaques and tangles that are considered hallmarks of the disease. While amyloid plaques have received much attention as an early indicator of disease, until very recently there hadn’t been any way during life to measure the buildup of tau protein in the brain. As a result, much less is known about the timing and distribution of tau tangles and its relationship to memory loss.
Now, in a study published in Science Translational Medicine, an NIH-supported research team has produced some of the first maps showing where tau proteins build up in the brains of people with early Alzheimer’s disease [1]. The new findings suggest that while beta-amyloid remains a reliable early sign of Alzheimer’s disease, tau may be a more informative predictor of a person’s cognitive decline and potential response to treatment.
Tags: Accelerating Medicines Partnership, age-related memory loss, aging, Alzheimer’s disease, AMP, AMP-AD, ß-amyloid, beta amyloid, brain, brain scan, cerebral cortex, cognitive decline, dementia, early Alzheimer's disease, frontal lobe, imaging, memory, memory loss, neurological disease, neurology, parietal lobe, PET scans, tau, tau protein, temporal lobe, translational medicine
Protecting Kids: Developing a Vaccine for Respiratory Syncytial Virus
Vaccines are one of biomedicine’s most powerful and successful tools for protecting against infectious diseases. While we currently have safe and effective vaccines to prevent measles, mumps, and a great many other common childhood diseases, we still lack a vaccine to guard against respiratory syncytial virus (RSV)—a leading cause of pneumonia among infants and young children.
Each year, more than 2 million U.S. children under the age of 5 require medical care for pneumonia and other potentially life-threatening lower respiratory infections caused by RSV [1,2]. Worldwide, the situation is even worse, with more than 30 million infections estimated to occur annually, most among kids in developing countries, where as many as 200,000 deaths may result [3]. So, I’m pleased to report some significant progress in biomedical research’s long battle against RSV: encouraging early results from a clinical trial of an experimental vaccine specifically designed to outwit the virus.
Tags: childhood disease, childhood infectious diseases, childhood vaccine, clinical trial, CRADA, genetic engineering, global health, immunity, live vaccine, M2-2 gene, neutralizing antibodies, pneumonia, respiratory diseases, respiratory syncytial virus, RSV, RSV MEDI ΔM2-2, RSV vaccine, translational medicine, vaccine, virology
Big Data Study Reveals Possible Subtypes of Type 2 Diabetes
Caption: Computational model showing study participants with type 2 diabetes grouped into three subtypes, based on similarities in data contained in their electronic health records. Such information included age, gender (red/orange/yellow indicates females; blue/green, males), health history, and a range of routine laboratory and medical tests.
Credit: Dudley Lab, Icahn School of Medicine at Mount Sinai, New York
In recent years, there’s been a lot of talk about how “Big Data” stands to revolutionize biomedical research. Indeed, we’ve already gained many new insights into health and disease thanks to the power of new technologies to generate astonishing amounts of molecular data—DNA sequences, epigenetic marks, and metabolic signatures, to name a few. But what’s often overlooked is the value of combining all that with a more mundane type of Big Data: the vast trove of clinical information contained in electronic health records (EHRs).
In a recent study in Science Translational Medicine [1], NIH-funded researchers demonstrated the tremendous potential of using EHRs, combined with genome-wide analysis, to learn more about a common, chronic disease—type 2 diabetes. Sifting through the EHR and genomic data of more than 11,000 volunteers, the researchers uncovered what appear to be three distinct subtypes of type 2 diabetes. Not only does this work have implications for efforts to reduce this leading cause of death and disability, it provides a sneak peek at the kind of discoveries that will be made possible by the new Precision Medicine Initiative’s national research cohort, which will enroll 1 million or more volunteers who agree to share their EHRs and genomic information.
Tags: big data, chronic disease, clinical data, cohort, diabetes, diabetes subtypes, diabetic complications, diabetic heart disease, diabetic nephropathy, diabetic neuropathy, diabetic retinopathy, electronic health records, genetic variants, genome-wide analysis, genomics, obesity, precision medicine, Precision Medicine Initiative, translational medicine, type 2 diabetes
